IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i14p3447-d1434582.html
   My bibliography  Save this article

Wind Farms’ Location and Geographical Proximity as a Key Factor in Sustainable City Development: Evidence from Poland

Author

Listed:
  • Patrycjusz Zarębski

    (Department of Economics, Koszalin University of Technology, Kwiatkowskiego 6E, 75-343 Koszalin, Poland)

  • Dominik Katarzyński

    (Department of Economics, Koszalin University of Technology, Kwiatkowskiego 6E, 75-343 Koszalin, Poland)

  • Hanna Godlewska-Majkowska

    (Institute of Enterprise, Collegium of Business Administration, Warsaw School of Economics, Madalińskiego 6/8, 02-554 Warszawa, Poland)

  • Agnieszka Komor

    (Department of Management and Marketing, Faculty of Agrobioengineering, University of Life Sciences in Lublin, 20-950 Lublin, Poland)

  • Adam Gawryluk

    (Department of Landscape Studies and Spatial Management, Faculty of Agrobioengineering, University of Life Sciences in Lublin, Akademicka 15, 20-950 Lublin, Poland)

Abstract

In this study, the potential impact of wind farm locations on the sustainable development of cities in Poland was evaluated, considering the availability of wind-generated electricity. We analyzed 37 cities in Poland with populations over 100,000. Research indicates that wind farms located 30–80 km from large cities perform best in terms of generating capacity, while greater distances increase transmission costs and energy losses. In Poland, wind farms are primarily situated in the northwestern regions, posing challenges for energy transmission to the southern cities, which are the main centers of energy consumption. The findings show that wind farms with the highest generating capacity are generally about 50 km from major cities. Key factors influencing wind farm locations include technical criteria, economic feasibility, environmental impact, public opinion, and the availability of transmission networks. Sustainable development of wind farms requires strategic cooperation between urban and rural municipalities, joint spatial planning, coordinated land acquisition, and the exchange of know-how.

Suggested Citation

  • Patrycjusz Zarębski & Dominik Katarzyński & Hanna Godlewska-Majkowska & Agnieszka Komor & Adam Gawryluk, 2024. "Wind Farms’ Location and Geographical Proximity as a Key Factor in Sustainable City Development: Evidence from Poland," Energies, MDPI, vol. 17(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3447-:d:1434582
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/14/3447/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/14/3447/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anne A. Gharaibeh & Deema A. Al-Shboul & Abdulla M. Al-Rawabdeh & Rasheed A. Jaradat, 2021. "Establishing Regional Power Sustainability and Feasibility Using Wind Farm Land-Use Optimization," Land, MDPI, vol. 10(5), pages 1-32, April.
    2. Md Rabiul Islam & Md Rakibul Islam & Hosen M. Imran, 2022. "Assessing Wind Farm Site Suitability in Bangladesh: A GIS-AHP Approach," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    3. Fischetti, Martina & Pisinger, David, 2018. "Optimizing wind farm cable routing considering power losses," European Journal of Operational Research, Elsevier, vol. 270(3), pages 917-930.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ryo Kohsaka & Satomi Kohyama, 2023. "Contested renewable energy sites due to landscape and socio-ecological barriers: Comparison of wind and solar power installation cases in Japan," Energy & Environment, , vol. 34(7), pages 2619-2641, November.
    2. Mohammed Ifkirne & Houssam El Bouhi & Siham Acharki & Quoc Bao Pham & Abdelouahed Farah & Nguyen Thi Thuy Linh, 2022. "Multi-Criteria GIS-Based Analysis for Mapping Suitable Sites for Onshore Wind Farms in Southeast France," Land, MDPI, vol. 11(10), pages 1-26, October.
    3. Siyu Tao & Andrés Feijóo & Jiemin Zhou & Gang Zheng, 2020. "Topology Design of an Offshore Wind Farm with Multiple Types of Wind Turbines in a Circular Layout," Energies, MDPI, vol. 13(3), pages 1-16, January.
    4. Cazzaro, Davide & Fischetti, Martina & Fischetti, Matteo, 2020. "Heuristic algorithms for the Wind Farm Cable Routing problem," Applied Energy, Elsevier, vol. 278(C).
    5. Yuanhang Qi & Peng Hou & Guisong Liu & Rongsen Jin & Zhile Yang & Guangya Yang & Zhaoyang Dong, 2021. "Cable Connection Optimization for Heterogeneous Offshore Wind Farms via a Voronoi Diagram Based Adaptive Particle Swarm Optimization with Local Search," Energies, MDPI, vol. 14(3), pages 1-21, January.
    6. Chakib El Mokhi & Adnane Addaim, 2020. "Optimization of Wind Turbine Interconnections in an Offshore Wind Farm Using Metaheuristic Algorithms," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    7. Ade Irawan, Chandra & Starita, Stefano & Chan, Hing Kai & Eskandarpour, Majid & Reihaneh, Mohammad, 2023. "Routing in offshore wind farms: A multi-period location and maintenance problem with joint use of a service operation vessel and a safe transfer boat," European Journal of Operational Research, Elsevier, vol. 307(1), pages 328-350.
    8. Pedersen, Jaap & Weinand, Jann Michael & Syranidou, Chloi & Rehfeldt, Daniel, 2024. "An efficient solver for large-scale onshore wind farm siting including cable routing," European Journal of Operational Research, Elsevier, vol. 317(2), pages 616-630.
    9. Ibrahim Mutambik, 2024. "The Sustainability of Smart Cities: Improving Evaluation by Combining MCDA and PROMETHEE," Land, MDPI, vol. 13(9), pages 1-28, September.
    10. Chandra Ade Irawan & Majid Eskandarpour & Djamila Ouelhadj & Dylan Jones, 2019. "Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm," Post-Print hal-02509382, HAL.
    11. Magnus Daniel Kallinger & José Ignacio Rapha & Pau Trubat Casal & José Luis Domínguez-García, 2023. "Offshore Electrical Grid Layout Optimization for Floating Wind—A Review," Clean Technol., MDPI, vol. 5(3), pages 1-37, June.
    12. José Baptista & Beatriz Jesus & Adelaide Cerveira & Eduardo J. Solteiro Pires, 2023. "Offshore Wind Farm Layout Optimisation Considering Wake Effect and Power Losses," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    13. Hugo Díaz & C. Guedes Soares, 2022. "Multicriteria Decision Approach to the Design of Floating Wind Farm Export Cables," Energies, MDPI, vol. 15(18), pages 1-18, September.
    14. Aguayo, Maichel M. & Fierro, Pablo E. & De la Fuente, Rodrigo A. & Sepúlveda, Ignacio A. & Figueroa, Dante M., 2021. "A mixed-integer programming methodology to design tidal current farms integrating both cost and benefits: A case study in the Chacao Channel, Chile," Applied Energy, Elsevier, vol. 294(C).
    15. Ruijuan Sun & Gayan Abeynayake & Jun Liang & Kewen Wang, 2021. "Reliability and Economic Evaluation of Offshore Wind Power DC Collection Systems," Energies, MDPI, vol. 14(10), pages 1-24, May.
    16. Wu, Yan & Xia, Tianqi & Wang, Yufei & Zhang, Haoran & Feng, Xiao & Song, Xuan & Shibasaki, Ryosuke, 2022. "A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network," Renewable Energy, Elsevier, vol. 185(C), pages 302-320.
    17. Jerome G. Gacu & Junrey D. Garcia & Eddie G. Fetalvero & Merian P. Catajay-Mani & Cris Edward F. Monjardin & Christopher Power, 2024. "A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines," Energies, MDPI, vol. 17(9), pages 1-21, April.
    18. López-Ramos, Francisco & Nasini, Stefano & Sayed, Mohamed H., 2020. "An integrated planning model in centralized power systems," European Journal of Operational Research, Elsevier, vol. 287(1), pages 361-377.
    19. Cazzaro, Davide & Koza, David Franz & Pisinger, David, 2023. "Combined layout and cable optimization of offshore wind farms," European Journal of Operational Research, Elsevier, vol. 311(1), pages 301-315.
    20. Bukurije Hoxha & Igor K. Shesho & Risto V. Filkoski, 2022. "Analysis of Wind Turbine Distances Using a Novel Techno-Spatial Approach in Complex Wind Farm Terrains," Sustainability, MDPI, vol. 14(20), pages 1-16, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3447-:d:1434582. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.